Determination of Recurrent Risk Factors in The Accident Rate of Companies in The Construction Sector in Peru
Pages 435 - 441
Abstract
The construction industry is characterized by high occupational risks and a significant number of accidents, due to the complexity and interrelation of the activities performed by its workers and the lack of commitment on the part of construction companies. This empirical study aims to identify the recurrent risk factors in construction companies in Peru, to lay the foundations for improving occupational safety and health in the industry. First, a systematic review of the literature was carried out and three main risk factors were identified: the human factor, the organizational factor, and the technical factor. Based on this, a survey was formulated among 387 workers in the Peruvian construction sector, taking the previously mentioned risk factors (exogenous variables) and occupational accidents (endogenous variable) as constructs. The data obtained was cleaned in SPSS and then processed and analyzed through the structural equation modeling (SEM) technique in SmartPLS4 software. The findings supported the risk factors determined, positioning the organizational factor as the one that has the greatest impact on occupational accidents. This research provides valuable information on the precarious safety situation in the construction industry to subsequently implement engineering methodologies and preventive measures.
References
[1]
J. R. Diaz Dumont, S. L. Suarez Mansilla, R. N. Santiago Martinez, and E. M. Bizarro Huaman, "Accidentes laborales en el Perú: Análisis de la realidad a partir de datos estadísticos," Revista Venezolana de Gerencia, vol. 25, no. 89, pp. 312-329, 2020, [Online]. Available: https://www.redalyc.org/articulo.oa?id=29062641021
[2]
K. Morales, G. Pacheco, and L. P. Viera, "Occupational Accidentability in the Construction Sector: Ecuador, period 2016-2019," INGENIO, vol. 4, no. 2, pp. 35-45, Dec. 2021.
[3]
J. Hernández and J. Neves dos Santos, "Analysis and Ibero-American classification of occupational accidents in the civil construction industry," Revista ingeniería de construcción, vol. 35, pp. 135-147, 2020.
[4]
J. H. M. Velandia and N. A. Pinilla, "From occupational health to occupational safety and health management: more than semantics, a transformation of the general system of occupational risks," Innovar, vol. 23, no. 48, pp. 21-31, 2013, [Online]. Available: https: //ezproxy.ulima.edu.pe/login?url=https://www.proquest.com/scholarly-journals/de-la-salud-ocupacional-gestion-seguridad-y-en-el/docview/1677602561/se-2?accountid=45277
[5]
OGETIC, "Notificaciones de accidentes de trabajo, incidentes peligrosos y enfermedades ocupacionales," Lima, 2022.
[6]
L. S. Marin, H. Lipscomb, M. Cifuentes, and L. Punnett, "Perceptions of safety climate across construction personnel: Associations with injury rates," Saf Sci, vol. 118, pp. 487-496, 2019.
[7]
I. M. Shohet, M. Luzi, and M. Tarshish, "Optimal allocation of resources in construction safety: Analytical-empirical model," Saf Sci, vol. 104, pp. 231-238, 2018.
[8]
R. Solis, "One hundred months of construction accidents in southeastern Mexico," Revista ingeniería de construcción, vol. 32, pp. 195-204, 2017.
[9]
B. Low, Man, A. Chan, and Alabdulkarim, "Construction Worker Risk-Taking Behavior Model with Individual and Organizational Factors," Int J Environ Res Public Health, vol. 16, p. 1335, Apr. 2019, doi 10.3390/ijerph16081335.
[10]
J. León, H. Murillo, L. Varón, D. Montes, and R. Cuervo, "Occupational safety and health management system related to occupational accidents in 12 SME companies in the construction sector," Revista Colombiana de Salud Ocupacional, vol. 7, pp. 22-30, Jun. 2017.
[11]
A. B. Putra, B. A. A. Putra, Meilani, A. Suhendra, and P. Arumsari, "Analysis on risk management of occupational health and safety on an ongoing building project," IOP Conf Ser Earth Environ Sci, vol. 794, no. 1, p. 012025, 2021.
[12]
K. Misiurek and B. Misiurek, "Methodology of improving occupational safety in the construction industry based on the TWI program," Saf Sci, vol. 92, pp. 225-231, 2017.
[13]
M. N. González García, M. Segarra Cañamares, B. M. Villena Escribano, and A. Romero Barriuso, "Constructiońs health and safety Plan: The leading role of the main preventive management document on construction sites," Saf Sci, vol. 143, p. 105437, 2021.
[14]
Y. Shim, 재민 Jeong, J. Jeong, J. Lee, and Y. Kim, "Comparative Analysis of the National Fatality Rate in Construction Industry Using Time-Series Approach and Equivalent Evaluation Conditions," Int J Environ Res Public Health, vol. 19, p. 2312, Feb. 2022, doi 10.3390/ijerph19042312.
[15]
S. A. Zapata, D. Bautista, C. P. Laguna, P. P. Rojas, Y. A. Rincón, and F. Contreras, "Adverse effects of chemical use on the health of workers in the construction industry. Review article," Revista Investigación en Salud Universidad de Boyacá, vol. 8, no. 2, pp. 147-162, Dec. 2021.
[16]
D. P. Restuputri, M. C. Huda, and A. Mubin, "Work safety aspects using a participatory ergonomic approach," Spektrum Industri, vol. 19, no. 1, p. 15, Apr. 2021.
[17]
J. Casas Anguita, J. R. Repullo Labrador, and J. Donado Campos, "The survey as a research technique. Elaboration of questionnaires and statistical treatment of data (II)," Aten Primaria, vol. 31, no. 9, pp. 592-600, 2003.
[18]
Ministry of Labor and Employment Promotion, "Informe anual del empleo 2021," Lima, 2022.
[19]
H. Taherdoost, "Determining Sample Size; How to Calculate Survey Sample Size," Feb. 2017.
[20]
J. Pantoja-Rodríguez, S. Vera-Gutiérrez, and T. Aviles, "Occupational risks in companies," Polo del Conocimiento, vol. 2, p. 833, May 2017.
[21]
R. Lecca, Seguridad en el Trabajo, 1st ed. Lima: Editorial Macro, 2016.
[22]
Z. Tian, Q. Chen, and T. Zhang, "A method for assessing the crossed risk of construction safety," Saf Sci, vol. 146, p. 105531, 2022.
[23]
L. G. Jimenez, M. M. Quispe Carlos, and L. J. Baldeón Bedon, Manual de Seguridad y Salud en el Trabajo, 1st ed. Lima: Instituto Pacifico S.A.C., 2016.
[24]
G. Ye, Q. Tan, X. Gong, Q. Xiang, Y. Wang, and Q. Liu, "Improved HFACS on Human Factors of Construction Accidents: A China Perspective," Advances in Civil Engineering, vol. 2018, p. 4398345, 2018.
[25]
S. Grimaldo Reyes, "ORGANIZATIONAL FACTORS AFFECTING OCCUPATIONAL SAFETY," May 2020.
[26]
L. A. de León Piñeiro, "Construction worker training in safety and its influence on occupational accidents: the case of Mallorca," TDX (Tesis Doctoral en Xarxa), 2015, [Online]. Available: http://www.tdx.cat/handle/10803/319450
[27]
N. E. Levrand, "Nuevos riesgos laborales: La tutela de los trabajadores agrarios ante enfermedades profesionales producidas por agrotóxicos en Argentina y Chile," Revista de derecho (Valparaíso), pp. 329-358, 2016.
[28]
Pablo. Páramo Montero and Carmen. Bueno, Legislative trends in occupational safety and health with a preventive approach: a comparative study of international legislation and selected countries, 1st ed. in Documento de trabajo, no. 20. Buenos Aires: OIT, 2018.
[29]
M. Lecue and R. M. Darbra, "Accidents in European ports involving chemical substances: Characteristics and trends," Saf Sci, vol. 115, pp. 278-284, 2019.
[30]
J. Robinson, "Likert Scale," in Encyclopedia of Quality of Life and Well-Being Research, Dordrecht: Springer Netherlands, 2014, pp. 3620-3621. doi 10.1007/978-94-007-0753-5_1654.
[31]
W. Chin, J.-H. Cheah, Y. Liu, H. Ting, X.-J. Lim, and T. H. Cham, "Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research," Industrial Management & Data Systems, vol. 120, no. 12, pp. 2161-2209, Jan. 2020.
[32]
G. Shmueli, "Predictive model assessment in PLS-SEM: guidelines for using PLSpredict," Eur J Mark, vol. 53, no. 11, pp. 2322-2347, Jan. 2019.
[33]
M. Sarstedt, C. Ringle, and J. Hair, "Partial Least Squares Structural Equation Modeling," 2021, pp. 1-47. doi 10.1007/978-3-3-319-05542-8_15-2.
[34]
J. Hulland, "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, vol. 20, no. 2, pp. 195-204, Feb. 1999, DOI https://doi.org/10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7.
[35]
J. F. Hair, J. J. J. Risher, M. Sarstedt, and C. M. Ringle, "When to use and how to report the results of PLS-SEM," European Business Review, vol. 31, no. 1, pp. 2-24, Jan. 2019, doi 10.1108/EBR-11-2018-0203.
[36]
A. Diamantopoulos, M. Sarstedt, C. Fuchs, P. Wilczynski, and S. Kaiser, "Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective," J Acad Mark Sci, vol. 40, no. 3, pp. 434-449, 2012.
[37]
J. Henseler, C. M. Ringle, and M. Sarstedt, "A new criterion for assessing discriminant validity in variance-based structural equation modeling," J Acad Mark Sci, vol. 43, no. 1, pp. 115-135, 2015, doi 10.1007/s11747-014-0403-8.
[38]
E. Mooi and M. Sarstedt, A concise guide to market research: The process, data, and methods using IBM SPSS Statistics. New York: Springer. 2011. doi 10.1007/978-3-642-12541-6.
[39]
C. Ringle, S. Wende, and J. Becker, "SmartPLS 3, computer software," Bönningstedt: SmartPLS, 2015.
[40]
S. Streukens and S. Leroi-Werelds, "Bootstrapping and PLS-SEM: A step-by-step guide to getting more out of your bootstrap results," European Management Journal, vol. 34, no. 6, pp. 618-632, 2016.
[41]
G. Shmueli and O. Koppius, "Predictive Analytics in Information Systems Research," MIS Quarterly, vol. 35, pp. 553-572, Sep. 2011, doi 10.2139/ssrn.1606674.
[42]
H. Jung, B. Choi, S. Kang, and Y. Kang, "Temporal analysis of the frequency of accidents associated with construction equipment," Saf Sci, vol. 153, p. 105817, 2022.
[43]
F. Suárez, G. Peláez, and J. Alís, "Integral Diagnosis of Occupational Health and Safety Management in Colombian Construction Companies," Journal of Construction in Developing Countries, vol. 22, pp. 101-116, Jan. 2018.
Index Terms
- Determination of Recurrent Risk Factors in The Accident Rate of Companies in The Construction Sector in Peru
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September 2023
564 pages
ISBN:9798400708824
DOI:10.1145/3629378
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Published: 28 December 2023
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ICIBE 2023
ICIBE 2023: 2023 the 9th International Conference on Industrial and Business Engineering
September 22 - 24, 2023
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